{"id":"https://openalex.org/W4387967957","doi":"https://doi.org/10.1145/3581783.3613837","title":"Prototype-guided Knowledge Transfer for Federated Unsupervised Cross-modal Hashing","display_name":"Prototype-guided Knowledge Transfer for Federated Unsupervised Cross-modal Hashing","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387967957","doi":"https://doi.org/10.1145/3581783.3613837"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3613837","doi":"https://doi.org/10.1145/3581783.3613837","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3613837","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3613837","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3613837","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102839448","display_name":"Jingzhi Li","orcid":"https://orcid.org/0009-0005-5094-1786","observed_orcids":["https://orcid.org/0009-0005-5094-1786"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhi Li","raw_affiliation_strings":["Shandong Normal University, Jinan, China","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0005-5094-1786","affiliations":[{"raw_affiliation_string":"Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136982758","display_name":"Fengling Li","orcid":"https://orcid.org/0009-0000-2942-4868","observed_orcids":["https://orcid.org/0009-0000-2942-4868","https://orcid.org/0000-0002-3432-6215","https://orcid.org/0000-0003-0032-9378"]},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fengling Li","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0032-9378","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142","observed_orcids":["https://orcid.org/0000-0002-2993-7142","https://orcid.org/0000-0002-5348-7532","https://orcid.org/0000-0002-3827-1960"]},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2993-7142","affiliations":[{"raw_affiliation_string":"Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006987121","display_name":"Hui Jie Cui","orcid":"https://orcid.org/0000-0002-6505-4734","observed_orcids":["https://orcid.org/0000-0002-6505-4734"]},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Cui","raw_affiliation_strings":["Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-6505-4734","affiliations":[{"raw_affiliation_string":"Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338386","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-5504-2529","observed_orcids":["https://orcid.org/0000-0002-5504-2529","https://orcid.org/0000-0001-9638-7964","https://orcid.org/0009-0006-3258-2457"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["Shandong Normal University, Jinan, China","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5504-2529","affiliations":[{"raw_affiliation_string":"Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2537,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.948709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1013","last_page":"1022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9286999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9286999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.04390000179409981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.00419999985024333,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"federated learning","score":0.7900000214576721},{"id":"https://openalex.org/keywords/cross-modal-hashing","display_name":"cross-modal hashing","score":0.9340000152587891},{"id":"https://openalex.org/keywords/cross-modal-retrieval","display_name":"cross-modal retrieval","score":0.8330000042915344},{"id":"https://openalex.org/keywords/unsupervised-hashing","display_name":"unsupervised hashing","score":0.8289999961853027},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.8700000047683716},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.6620000004768372},{"id":"https://openalex.org/keywords/model-bias","display_name":"model bias","score":0.42800000309944153},{"id":"https://openalex.org/keywords/feature-space-alignment","display_name":"feature space alignment","score":0.640999972820282},{"id":"https://openalex.org/keywords/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.4569999873638153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8348928689956665},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6524914503097534},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5925694108009338},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5682335495948792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4984097480773926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4426299035549164},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4412704408168793},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4194907248020172},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39457520842552185},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1493322253227234},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3613837","doi":"https://doi.org/10.1145/3581783.3613837","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3613837","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3613837","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3613837","doi":"https://doi.org/10.1145/3581783.3613837","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3613837","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3613837","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2462498745","display_name":null,"funder_award_id":"62172263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3325856545","display_name":null,"funder_award_id":"ZR2019QF002","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G4384274961","display_name":null,"funder_award_id":"ZR2020YQ47","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7387641953","display_name":null,"funder_award_id":"ZR2019QF002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387967957.pdf","grobid_xml":"https://content.openalex.org/works/W4387967957.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1922199343","https://openalex.org/W1976258951","https://openalex.org/W2007972815","https://openalex.org/W2117539524","https://openalex.org/W2266728343","https://openalex.org/W2345649690","https://openalex.org/W2748725735","https://openalex.org/W2767079719","https://openalex.org/W2807006176","https://openalex.org/W2896457183","https://openalex.org/W2897230576","https://openalex.org/W2912213068","https://openalex.org/W2951467122","https://openalex.org/W2963173190","https://openalex.org/W2976335444","https://openalex.org/W2982905682","https://openalex.org/W3006683596","https://openalex.org/W3034748927","https://openalex.org/W3080411117","https://openalex.org/W3081273427","https://openalex.org/W3093331990","https://openalex.org/W3097807705","https://openalex.org/W3110846182","https://openalex.org/W3112044954","https://openalex.org/W3154050891","https://openalex.org/W3158986867","https://openalex.org/W3159551428","https://openalex.org/W3160345923","https://openalex.org/W3164573547","https://openalex.org/W3175740157","https://openalex.org/W3175759175","https://openalex.org/W3178827611","https://openalex.org/W3193972328","https://openalex.org/W3208814888","https://openalex.org/W4224289668","https://openalex.org/W4226101686","https://openalex.org/W4282937884","https://openalex.org/W4283220690","https://openalex.org/W4285603046","https://openalex.org/W4287332481","https://openalex.org/W4290945297","https://openalex.org/W4297808394","https://openalex.org/W4304083183","https://openalex.org/W4304092731","https://openalex.org/W4312420429","https://openalex.org/W4312592506","https://openalex.org/W4372348154","https://openalex.org/W4408100315","https://openalex.org/W7133192773"],"related_works":["https://openalex.org/W4362701735","https://openalex.org/W4400002930","https://openalex.org/W7155096040","https://openalex.org/W7160442442","https://openalex.org/W4403780859","https://openalex.org/W4372348154","https://openalex.org/W4409363357","https://openalex.org/W4408357840","https://openalex.org/W4412352659","https://openalex.org/W7124206209"],"abstract_inverted_index":{"Although":[0],"deep":[1],"cross-modal":[2,9,51,57,124,155,192,219],"hashing":[3],"methods":[4,59],"have":[5],"shown":[6],"superiorities":[7],"for":[8,117,138],"retrieval":[10,58,75,125,185,220,230],"recently,":[11],"there":[12],"is":[13,44],"a":[14,28,45,63,109],"concern":[15],"about":[16],"potential":[17],"data":[18,99,132,181],"privacy":[19,120],"leakage":[20,121],"when":[21,232],"training":[22],"the":[23,71,74,81,90,93,119,153,160,163,168,173,176,184,210],"models.":[24,76],"Federated":[25,112],"learning":[26,31,157,207],"adopts":[27],"distributed":[29,235],"machine":[30],"strategy,":[32],"which":[33,69],"can":[34,227],"collaboratively":[35],"train":[36],"models":[37,83,203],"without":[38,141],"leaking":[39],"local":[40,86,130,154,179,205],"private":[41,131],"data.":[42],"It":[43],"promising":[46],"technique":[47],"to":[48,151,195,204],"support":[49],"privacy-preserving":[50,236],"hashing.":[52],"However,":[53],"existing":[54],"federated":[55],"learning-based":[56],"usually":[60],"rely":[61],"on":[62,143,216],"large":[64],"number":[65],"of":[66,73,97,162,178,212,241],"semantic":[67,145,198],"annotations,":[68],"limits":[70],"scalability":[72],"Furthermore,":[77],"they":[78],"mostly":[79],"update":[80],"global":[82,136,202],"by":[84,133,172],"aggregating":[85],"model":[87,126,169],"parameters,":[88],"ignoring":[89],"differences":[91],"in":[92,123,175],"quantity":[94],"and":[95,158,182],"category":[96],"multi-modal":[98,180],"from":[100,200],"multiple":[101],"clients.":[102],"To":[103],"address":[104],"these":[105],"issues,":[106],"we":[107,188],"propose":[108],"Prototype":[110],"Transfer-based":[111],"Unsupervised":[113],"Cross-modal":[114],"Hashing(PT-FUCH)":[115],"method":[116,226,243],"solving":[118],"problem":[122],"learning.":[127],"PT-FUCH":[128,225],"protects":[129],"exploring":[134],"unified":[135],"prototypes":[137,148],"different":[139],"clients,":[140],"relying":[142],"any":[144],"annotations.":[146],"Global":[147],"are":[149,244],"used":[150],"guide":[152],"hash":[156],"promote":[159],"alignment":[161],"feature":[164],"space,":[165],"thereby":[166],"alleviating":[167],"bias":[170],"caused":[171],"difference":[174],"distribution":[177],"improving":[183],"accuracy.":[186],"Additionally,":[187],"design":[189],"an":[190],"adaptive":[191],"knowledge":[193,199],"distillation":[194],"transfer":[196],"valuable":[197],"modal-specific":[201],"prototype":[206],"processes,":[208],"reducing":[209],"risk":[211],"overfitting.":[213],"Experimental":[214],"results":[215],"three":[217],"benchmark":[218],"datasets":[221],"validate":[222],"that":[223],"our":[224,242],"achieve":[228],"outstanding":[229],"performance":[231],"trained":[233],"under":[234],"mode.":[237],"The":[238],"source":[239],"codes":[240],"available":[245],"at":[246],"https://github.com/exquisite1210/PT-FUCH_P.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":8}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-10-28T00:00:00"}
